Semantic technology blends text mining, inference and a graph database to deliver optimized knowledge management solutions.

Ontotext provides a complete set of semantic technologies transforming how organizations identify meaning across diverse databases and massive amounts of unstructured data. Ontotext blends text mining, powerful structured queries, semantic annotation and semantic search with an RDF graph database that infers new facts and meaning at scale. Integrate your ontology or let our semantic experts build one for you. Today, Ontotext is used to power the world’s largest media websites and support knowledge management applications using billions of facts in publishing, healthcare, pharma, financial services, government and museums. Ontotext technology delivers highly relevant search results for improved decision making – all in real time.

GraphDB™ – The World’s Most Powerful Triplestore

Let Meaning Drive Your Decisions

  • High performance load, query and inference simultaneously
  • Infer new facts using RDFS, OWL 2 or custom rule sets
  • Efficient reasoning through the entire lifecycle of data
  • Manage 10′s of billions of facts on commodity hardware
  • Full SPARQL 1.1 support
  • Plug-in API for your own logic and text mining pipeline
  • Connectors for full-text search and NoSQL – Lucene, SoLR, Elasticsearch
  • Optimized support for data integration through owl:sameAs
  • Mature enterprise cluster architecture for high availability, automatic failover and load balancing

Additional Resources

The Latest White Paper from Ontotext: "The Truth About Triplestores"

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GraphDB: At Last, the Meaningful Database

 

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Open Policy: Semantic Technology Accelerates Document Search

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